Scroll_Article : Analysing election results

Punjab Vidhan Sabha

Alliances and Parties

Total Seats : 117
Alliances in the election

Seat Distribution in current and last Vidhan Sabha

Seat Distribution of Assembly Segments in last LokSabha Elections

Party Voteshare crosstab Party Seats crosstab Party Strikerate crosstab

Alliance Voteshare crosstab

Alliance Seats crosstab Alliance Strikerate crosstab

raw data

Turnout

Gender wise turnout in all assemblies

total turnout for all assemblies

Constituency wise 2022 turnout

Phase wise 2022 turnout

Candidates and Parties

Candidates contested and depositsParr lost

parties contested and represented

Constituency wise parties represented in 2022 Punjab Vidhan Sabha

Constituency wise parties represented in 2017 Punjab Vidhan Sabha

Assembly Segment wise parties represented in last Punjab Lok Sabha

Main parties in all elections

Voteshares of main parties

Voteshares of main parties in seats contested

Seatshares of main parties : Timeline

Strike rates of main parties : Timeline

Main Parties Aggregate Data

AAAP subregional voteshare

## Warning: Ignoring 1 observations

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

INC subregional voteshare

## Warning: Ignoring 1 observations

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

## Warning in structure(if (i %in% npscales()) uniq(d[[i]]) else d[[i]], class = oldClass(x[[i]])): Calling 'structure(NULL, *)' is deprecated, as NULL cannot have attributes.
##   Consider 'structure(list(), *)' instead.

subregional voteshare by alliance crosstab where contested

total subregional voteshare by alliance crosstab

subregional voteshare by party crosstab where contested

total subregional voteshare by party crosstab

subregional strikerate by party crosstab

subregional seats by party crosstab

subregional seatshare by alliance subregional strikerate by alliance

subregional raw data

AAAP Constituency Wise Voteshare

INC Constituency Wise Voteshare

AAAP Alliance: seats contested by parties

INC Alliance: seats contested by parties

Nota Vote share

Phase wise party seat share

Phase wise party vote share

Phase wise party strike rate

party wise median victory margins

Constituency wise win margin in 2022 Punjab Vishan Sabha

##    Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
##    0.23    6.43   15.56   16.67   25.65   48.67

Margin Bins

Constituency Type

## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels

## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels

##Incumbency

No of terms by assembly

## [1] "first timers"

Incumbents

## Warning in melt.data.table(incumbents, id.vars = "Year", measure.vars
## = c("Incumbents", : 'measure.vars' [Incumbents, IncumbentWinner,
## rerunningPercentage, StrikeRate, totalMLAs] are not all of the same
## type. By order of hierarchy, the molten data value column will be of type
## 'double'. All measure variables not of type 'double' will be coerced too.
## Check DETAILS in ?melt.data.table for more on coercion.

## [1] "number of terms for current assembly"

Turncoats

## Caste Caste groups among major Parties MLAs

Caste groups among major Parties Candidates

Caste Group representation in Punjab Assembly

OBC Representation

## Joining, by = "Year"

Upper Caste Representation

## Joining, by = "Year"

Constituency wise caste representation in 2016 Punjab Vidhan Sabha

Tempout

Constituency wise caste representation in 2021 Punjab Vidhan Sabha

## [1] "Caste color not found for SIKH"

Women Candidates

Assembly wise women participation in Punjab Vidhan Sabha Electionss

Alliance wise women participation in 2022 Punjab Vidhan Sabha Election

Women Nomination in Main Parties in 2022 Punjab Vidhan Sabha Election

Women candidates and winners in 2022 Punjab Vidhan Sabha Election

Constituency wise Gender Representation in 2022 Punjab Vidhan Sabha Election

##Muslims

Muslim Representation in Punjab Vidhan Sabha

Muslim Representation amongst major parties in Punjab Vidhan Sabha

Muslims Nominated by parties in all Punjab Vidhan Sabha Elections

Muslim MLA by parties in all Punjab Vidhan Sabha Elections

ConstituencyWise Muslim Representation

Affidavit Information

Distribution of education levels of MLAs

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

Distribution of education levels of MLAs by alliance

## Joining, by = "Alliance"

## Warning: Ignoring 1 observations

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

Distribution of education levels of MLAs by party

## Joining, by = "Party"

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

Age distribution of MLAs in last two assemblies

## Joining, by = "Year"

## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels

## Warning in RColorBrewer::brewer.pal(N, "Set2"): minimal value for n is 3, returning requested palette with 3 different levels

party wise Age distribution of 2022 Punjab Vidhan Sabha

## Joining, by = "Party"

party wise Age distribution of 2017 Punjab Vidhan Sabha

## Joining, by = "Party"

Occupation of 2022 Punjab MLAs

Occupation of 2017 Punjab MLAs

Party wise Occupation of 2022 Punjab MLAs

## Joining, by = c("Year", "Party")

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

## Warning in RColorBrewer::brewer.pal(N, "Set2"): n too large, allowed maximum for palette Set2 is 8
## Returning the palette you asked for with that many colors

Ratio of crorepati Candidates and MLAs by Party in 2021

## Joining, by = "Party"

Ratio of crorepati Candidates and MLAs by Party in 2016

## Joining, by = "Party"

## Warning: Ignoring 1 observations